Triple
T38367532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Lacey |
E892488
|
entity |
| Predicate | hasPublicSchoolsDistrict |
P85311
|
FINISHED |
| Object | North Thurston Public Schools |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: North Thurston Public Schools | Statement: [City of Lacey, hasPublicSchoolsDistrict, North Thurston Public Schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicSchoolsDistrict Context triple: [City of Lacey, hasPublicSchoolsDistrict, North Thurston Public Schools]
-
A.
hasPublicSchoolDistrictCode
Indicates that an entity is associated with a specific public school district identified by a district code.
-
B.
hasSchoolDistricts
chosen
Indicates that one entity administers, contains, or is associated with one or more school districts.
-
C.
schoolDistrict
Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
-
D.
hasPublicEducationSystem
Indicates that a governing body or region maintains an organized, state-funded system of schools and educational institutions accessible to the general public.
-
E.
hasPublicMiddleSchool
Indicates that a given area or jurisdiction contains at least one publicly funded middle school.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:31 p.m.